Cellares is building a next-generation Integrated Digital Manufacturing Operations (IDMO) platform to enable scalable, GMP-compliant cell therapy manufacturing. As part of this transformation, we are establishing a modern enterprise data foundation powered by Databricks to unify data across engineering, manufacturing, quality, supply chain, finance and commercial systems.
We are seeking a Principal Enterprise Data Architect, a highly hands-on individual contributor who will design, build, and operationalize our enterprise data platform from the ground up.
This is a multidisciplinary role and this individual will play a critical role in enabling real-time decision-making, data governance, and AI readiness across the enterprise. This role is a startup-style builder (90% hands-on) and will evolve into a foundational leader for scaling data capabilities, including alignment with our Global Capability Center (GCC).
Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows.
Responsibilities
Architect and implement Databricks Lakehouse architecture
Build end-to-end ETL/ELT pipelines
Define canonical data models and scalable patterns
Integrate SAP S/4HANA, Tulip MES, LabVantage LIMS, Salesforce, and engineering systems
Align with API-first/event-driven architecture (MuleSoft / Workato)
Define data glossary, lineage, and quality frameworks
Implement Unity Catalog and governance aligned to GMP/21 CFR Part 11
Prepare datasets for analytics and AI/ML use cases
Support structured and unstructured data processing
Evaluate and implement BI tools (Sigma, Looker, Tableau)
Enable self-service analytics with governance
Build pipelines using Python, SQL, Spark
Establish reusable frameworks
Partner with engineering, manufacturing, quality, finance and software teams
Translate business needs into data solutions
Requirements
Bachelor’s or Master’s degree in Engineering, Life Sciences, Information Systems, or related field
10+ years in data architecture/data engineering
Strong Databricks/Spark experience
Experience building data platforms from scratch
Integration with ERP/MES/LIMS/CRM systems
Azure cloud experience
Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset
